Question: There are many classification problems that are not linearly separable. Which trick often allows us to still separate the classes with a linear classifier? Adding

There are many classification problems that are not linearly separable. Which

There are many classification problems that are not linearly separable. Which trick often allows us to still separate the classes with a linear classifier? Adding a regularizer. Deriving new features from the existing ones. Using least-squares-loss instead of log-loss. Reducing the dimensionality with PCA

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